A Hybrid Controller for Tolerating Climatic Variations Affecting PV Systems

The article presents a hybrid controller based on the Incremental Conductance (Inc-Cond) and Interval Type-۲ Fuzzy Logic (IT-۲FL) algorithms as a Maximum Power Point Tracker (MPPT). The controller employs a three-phase Interleaved Boost Converter (IBC), which operates based on the pulses generated by the MPPT to ensure that the photovoltaic (PV) system operates at or near its Maximum Power Point (MPP). IT-۲FL enhances the tracking process by applying rule fuzzification and managing uncertainties in response to significant fluctuations in climatic conditions. The proposed controller demonstrates precise and rapid convergence to the MPP, outperforming the individual application of both component methods, as well as traditional fuzzy logic, even when combined with Inc-Cond. The fault tolerance of the proposed tracker is validated through MATLAB simulations under various operational scenarios, evaluating response time, MPP tracking accuracy, efficiency, and other parameters.

کلیدواژه ها:

PV system ، IT-۲FLC ، hybrid approach ، MPPT control